Cory J. Butz

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

A Comparison of Different Marginalization Operations in Simple Propagation.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Upward Pass Semantics in Arithmetic Circuit Inference.

[BibT_eX]

[DOI]

Anna Norris

Kadence Meredith

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2020

Sum-Product Network Decompilation.

[BibT_eX]

[DOI]

Robert Peharz

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

On the Tree Structure of Deep Convolutional Sum-Product Networks.

[BibT_eX]

[DOI]

André Lobo Teixeira

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Solving Influence Diagrams with Simple Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2019

Exploiting Symmetry of Independence in d-Separation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2019

Deep Convolutional Sum-Product Networks.

[BibT_eX]

[DOI]

André L. Teixeira

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An empirical study of testing independencies in Bayesian networks using rp-separation.

[BibT_eX]

[DOI]

Christophe Gonzales

Int. J. Approx. Reason., 2018

An empirical study of Bayesian network inference with simple propagation.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

On a simple method for testing independencies in Bayesian networks.

[BibT_eX]

[DOI]

Christophe Gonzales

Comput. Intell., 2018

Simple Propagation with Arc-Reversal in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

An Empirical Study of Methods for SPN Learning and Inference.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models.

[BibT_eX]

[DOI]

John Stavrinides

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

2017

On Darwinian Networks.

[BibT_eX]

[DOI]

Comput. Intell., 2017

On learning the structure of sum-product networks.

[BibT_eX]

[DOI]

André Evaristo dos Santos

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

On Finding Relevant Variables in Discrete Bayesian Network Inference.

[BibT_eX]

[DOI]

Cory James Butz

Jhonatan Souza Oliveira

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

On Converting Sum-Product Networks into Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2017

Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2017

2016

Bayesian network inference using marginal trees.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2016

Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Testing Independencies in Bayesian Networks with i-Separation.

[BibT_eX]

[DOI]

Christophe Gonzales

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Bayesian Network Inference with Simple Propagation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

On Tree Structures Used by Simple Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Uncertain reasoning at FLAIRS.

[BibT_eX]

[DOI]

Christoph Beierle

André Evaristo dos Santos

Souhila Kaci

J. Appl. Log., 2015

Determining Good Elimination Orderings with Darwinian Networks.

[BibT_eX]

[DOI]

Cory James Butz

Jhonatan Souza Oliveira

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Introducing Darwinian Networks (Invited Presentation).

[BibT_eX]

[DOI]

Cory James Butz

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2015

2013

Rough Support Vectors: Classification, Regression, Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Editorial: Uncertain reasoning FLAIRS 2011.

[BibT_eX]

[DOI]

Laurent Perrussel

Int. J. Approx. Reason., 2013

Ordering arc-reversal operations when eliminating variables in lazy AR propagation.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2013

On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

On Semantics of Inference in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

d-Separation: Strong Completeness of Semantics in Bayesian Network Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Special Track on Uncertain Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011

Conservative and aggressive rough SVR modeling.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2011

Join tree propagation utilizing both arc reversal and variable elimination.

[BibT_eX]

[DOI]

Ken Konkel

Int. J. Approx. Reason., 2011

Evaluating Probabilistic Inference Techniques: A Question of "When, " not "Which".

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

Special Track on Uncertain Reasoning.

[BibT_eX]

[DOI]

Laurent Perrussel

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Using Four Cost Measures to Determine Arc Reversal Orderings.

[BibT_eX]

[DOI]

Kevin Williams

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010

The CPT Structure of Variable Elimination in Discrete Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Information Systems, 2010

Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Join tree propagation with prioritized messages.

[BibT_eX]

[DOI]

Networks, 2010

Rough support vector regression.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2010

2009

A join tree probability propagation architecture for semantic modeling.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2009

A simple graphical approach for understanding probabilistic inference in Bayesian networks.

[BibT_eX]

[DOI]

Inf. Sci., 2009

A formal comparison of variable elimination and arc reversal in Bayesian network inference.

[BibT_eX]

[DOI]

Intell. Decis. Technol., 2009

A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008

A Web-Based Interface for Hiding Bayesian Network Inference.

[BibT_eX]

[DOI]

Ken Konkel

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007

Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification.

[BibT_eX]

[DOI]

Inf. Sci., 2007

Current Trends in Bayesian Network Inference.

[BibT_eX]

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Precision and Recall in Rough Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006

A web-based bayesian intelligent tutoring system for computer programming.

[BibT_eX]

[DOI]

R. Brien Maguire

Web Intell. Agent Syst., 2006

An Efficient Algorithm for Inference in Rough Set Flow Graphs.

[BibT_eX]

[DOI]

Boting Yang

Trans. Rough Sets, 2006

An Improved LAZY-AR Approach to Bayesian Network Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

2005

On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

The Computational Complexity of Inference Using Rough Set Flow Graphs.

[BibT_eX]

[DOI]

Boting Yang

Proceedings of the Rough Sets, 2005

On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency.

[BibT_eX]

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Sophisticated Indexes for Implementing Probabilistic Expert Systems.

[BibT_eX]

F. Fang

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Modelling Multiagent Bayesian Networks with Inclusion Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Interval set representations of 1-v-r support vector machine multi-classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Incorporating Evidence in Bayesian Networks with the Select Operator.

[BibT_eX]

[DOI]

F. Fang

Proceedings of the Advances in Artificial Intelligence, 2005

Causal Discovery.

[BibT_eX]

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Web-based Support Systems (WSS): A Report of the WIC Canada Research Centre.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

An Integrated Approach to Discovery in Complex Information Spaces.

[BibT_eX]

Daryl H. Hepting

Proceedings of the 2nd International Workshop on Web-based Support Systems, 2004

A Web-Based Intelligent Tutoring System for Computer Programming.

[BibT_eX]

[DOI]

R. Brien Maguire

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

A Foundational Approach to Mining Itemset Utilities from Databases.

[BibT_eX]

[DOI]

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Towards Jointree Propagation with Conditional Probability Distributions.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2004

2003

A Query Processing Algorithm for Hierarchical Markov Networks.

[BibT_eX]

[DOI]

Jidong Liu

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

A Non-local Coarsening Result in Granular Probabilistic Networks.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2003

Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks.

[BibT_eX]

[DOI]

Qiang Hu

Xue Dong Yang

Proceedings of the Rough Sets, 2003

Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks.

[BibT_eX]

[DOI]

H. Geng

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2003

A New Inference Axiom for Probabilistic Conditional Independence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Triangulation of Bayesian Networks: A Relational Database Perspective.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Properties of Weak Conditional Independence.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2002

A Method for Detecting Context-Specific Independence in Conditional Probability Tables.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Acquisition Methods for Contextual Weak Independence.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Critical Remarks on Bayesian Network Libraries.

[BibT_eX]

Proceedings of the 6th Joint Conference on Information Science, 2002

FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Exploiting contextual independencies in Web search and user profiling.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

On the Role of Contextual Weak Independence in Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2002

2001

Constructing the Dependency Structure of a Multiagent Probabilistic Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2001

On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Web Intelligence: Research and Development, 2001

2000

On the implication problem for probabilistic conditional independency.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2000

Rough Sets for Uncertainty Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2000

A Comparative Study of Noncontextual and Contextual Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

1999

Contextual Weak Independence in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

On Information-Theoretic Measures of Attribute Importance.

[BibT_eX]

[DOI]

Yiyu Yao

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Database Engineering and Applications Symposium, 1999

1998

Automated Database Schema Design Using Mined Data Dependencies.

[BibT_eX]

[DOI]

Yang Xiang

J. Am. Soc. Inf. Sci., 1998

Equivalent Characterization of a Class of Conditional Probabilistic Independencies.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 1998

Probabilistic Reasoning in a Distributed Multi-Agent Environment.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Multiagent Systems, 1998

1995

A Method for Implementing a Probabilistic Model as a Relational Database.

[BibT_eX]

[DOI]